Filter Rows With Conditions
Boolean masks on a DataFrame.
From Columns to Rows
Picking columns trims width; filtering rows trims length. Now you keep only the records that match a condition you care about. 🔍
A Condition Makes a Mask
Write a comparison on a column and pandas returns a boolean mask: one True or False per row, telling you which records pass.
mask = df["age"] > 30
print(mask.head())All lessons in this course
- Pick Columns by Name
- Filter Rows With Conditions
- Combine Filters With AND and OR
- query and isin for Clean Filters